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Pytorch Research Jobs (NOW HIRING)

AppLovin

Foundational Research Scientist

Palo Alto, CA · On-site

... frameworks (PyTorch). • Experience with large-scale data and experimentation. Preferred : • Publications in top venues (NeurIPS, ICML, ICLR, KDD, RecSys, SIGIR, WWW). • Experience with ...

AppLovin

Foundational Research Scientist

Palo Alto, CA · On-site

... frameworks (PyTorch). • Experience with large-scale data and experimentation. Preferred : • Publications in top venues (NeurIPS, ICML, ICLR, KDD, RecSys, SIGIR, WWW). • Experience with ...

Jump Trading

Research Engineer, Pre-Training

New York, NY · On-site

$300K - $350K/yr

Expertise in Python and deep experience with modern deep learning frameworks (PyTorch and/or JAX ... Ability to balance ambitious research goals with practical engineering constraints * Strong problem ...

ATG intelligence

Research Scientist

New York, NY · On-site

$200K - $300K/yr

Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX). * Ability to turn theory into robust, practical code. * Up-to-date on the latest research in LLMs from reading papers, articles ...

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Pytorch Research information

What are the key skills and qualifications needed to thrive as a PyTorch Researcher, and why are they important?

To thrive as a PyTorch Researcher, you need a deep understanding of machine learning, statistics, and programming (especially Python), often supported by a degree in computer science or a related field. Proficiency in PyTorch, as well as experience with deep learning frameworks, GPU computing, and version control systems like Git, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are valuable soft skills that distinguish top researchers. These skills are crucial for developing innovative models, efficiently collaborating with teams, and advancing research in rapidly evolving AI environments.

What types of projects or problems do PyTorch Research professionals typically work on within a research team?

PyTorch Research professionals are often involved in designing and developing innovative deep learning models, conducting experiments, and exploring novel algorithms using the PyTorch framework. Their daily work may include tasks such as implementing new neural network architectures, optimizing existing models, and collaborating with data scientists, engineers, or academic researchers to publish findings or build prototypes. The role frequently requires staying updated with the latest advancements in machine learning and contributing to open-source projects or academic publications, making it both challenging and rewarding for those passionate about research and experimentation.

What is PyTorch research?

PyTorch research involves using the PyTorch deep learning framework to develop, test, and analyze new machine learning models and algorithms. Researchers in this field typically experiment with neural networks, natural language processing, computer vision, and other AI applications using PyTorch's flexible and user-friendly tools. The aim is to advance the state-of-the-art in AI by publishing papers, releasing code, or contributing to open-source projects. PyTorch research is highly collaborative and often involves working at universities, tech companies, or research labs.
Foundational Research Scientist

Foundational Research Scientist

AppLovin

Palo Alto, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
AppLovin is a technology company that provides end-to-end software and AI solutions for businesses. They are seeking a Foundational Research Scientist to drive foundational research in recommendation models, leveraging user data and large-scale compute to validate models, while collaborating with engineering and product teams.
Responsibilities:
• Drive foundational research to create new recommendation models and paradigms.
• Leverage rich live user data and large-scale compute to validate models rapidly.
• Collaborate closely with engineering and product teams to operationalize research.
• Publish findings and contribute to the broader ML and RecSys community.
Qualifications:
Required:
• PhD (or equivalent research experience) in CS, ML, Statistics, or related field.
• Strong background in deep learning.
• Proven track record of research excellence (publications, awards, impactful projects).
• Proficiency in Python and modern ML frameworks (PyTorch).
• Experience with large-scale data and experimentation.
Preferred:
• Publications in top venues (NeurIPS, ICML, ICLR, KDD, RecSys, SIGIR, WWW).
• Experience with sequential modeling, representation learning, or causal inference.
• Knowledge of online experimentation and evaluation methodologies.
• Industry experience deploying ML in production systems.
Company:
AppLovin makes technologies that help businesses of every size connect to their ideal customers. Founded in 2012, the company is headquartered in Palo Alto, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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